TY - GEN
T1 - A multi-agent predicting method of fleet spare part requirement for fleet condition based maintenance
AU - Feng, Qiang
AU - Li, Songjie
AU - Sun, Bo
PY - 2014
Y1 - 2014
N2 - To meet the demand for spare part predicting of a typical mission, a multi-agent based fleet spare part predicting method is proposed. The process of fleet spare part replacement is analysed, and the mathematical expression of fleet spare part predicting problem is introduced. Then the process is described as a 3-layer multi-agent model, and the fleet spare part replacing policy and predicting algorithm are proposed based on the model. Finally, a fleet of 8 aircrafts is studied for verification purpose, a mission type with 4 waves continuous dispatched is imaged. The proposed method can not only solve spare part demand, but provide optimal replacement strategies as well.
AB - To meet the demand for spare part predicting of a typical mission, a multi-agent based fleet spare part predicting method is proposed. The process of fleet spare part replacement is analysed, and the mathematical expression of fleet spare part predicting problem is introduced. Then the process is described as a 3-layer multi-agent model, and the fleet spare part replacing policy and predicting algorithm are proposed based on the model. Finally, a fleet of 8 aircrafts is studied for verification purpose, a mission type with 4 waves continuous dispatched is imaged. The proposed method can not only solve spare part demand, but provide optimal replacement strategies as well.
KW - Condition based maintenance
KW - Multi-agent
KW - Policy
KW - Spare part predicting
UR - https://www.scopus.com/pages/publications/84929468285
U2 - 10.1049/cp.2014.1351
DO - 10.1049/cp.2014.1351
M3 - 会议稿件
AN - SCOPUS:84929468285
SN - 9781849199285
T3 - IET Conference Publications
BT - IET Conference Publications
PB - Institution of Engineering and Technology
T2 - International Conference on Cyberspace Technology, CCT 2014
Y2 - 8 November 2014 through 10 November 2014
ER -